C. J. Date

2.1k citations
50 papers · 1.1k · h-index 19

Impact in

Papers in

C. J. Date

46 papers receiving 910 citations

Peers

C. J. Date
Comparison fields: 5 of 78
  • Signal Processing 512
  • Computer Networks and Communications 850
  • Artificial Intelligence 615
  • Information Systems 289
  • Management Science and Operations Research 104
Replace Arthur M. Keller with:
Arthur M. Keller United States
William Kent United States
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James P. Fry United States
Larry Kerschberg United States
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Countries citing papers authored by C. J. Date

Since Specialization
Citations

This map shows the geographic impact of C. J. Date's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. J. Date with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. J. Date more than expected).

Fields of papers citing papers by C. J. Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. J. Date. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. J. Date. The network helps show where C. J. Date may publish in the future.

Co-authors

The 6 scholars most cited alongside C. J. Date, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. J. Date Line = papers co-authored together C. J. Date links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Guide to the SQL Standard
1987188
2
An introduction to Database Systems, 8th ed
1999111
3
Referential integrity
1981106
4
Relational Database: Selected Writings
198679
5 198451
6 199539
7
SQL and Relational Theory: How to Write Accurate SQL Code
200938
8 197537
9 197537
10
Database in Depth: Relational Theory for Practitioners
200536
11
A guide to the SQL standard (2nd ed.)
198930
12
Foundation for Object / Relational Databases: The Third Manifesto
199827
13 199225
14
An introduction to the unified database language (UDL)
198022
15 201222
16
Foundation for Future Database Systems: The Third Manifesto
200021
17 197120
18 197620
19 197120
20
Databases, Types and the Relational Model (3rd Edition)
200618

About C. J. Date

C. J. Date is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Science and Operations Research, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (38 papers), Data Management and Algorithms (15 papers), Semantic Web and Ontologies (12 papers), Service-Oriented Architecture and Web Services (5 papers), Logic, Reasoning, and Knowledge (4 papers), Data Mining Algorithms and Applications (4 papers), Logic, programming, and type systems (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Signal Processing (512 citations), Computer Networks and Communications (850 citations), Artificial Intelligence (615 citations), Information Systems (289 citations) and Management Science and Operations Research (104 citations). C. J. Date has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Hugh Darwen, E. F. Codd, Ronald Fagin, Nikos A. Lorentzos, Parikshit N. Mahalle and Ramchandra Mangrulkar. Their work appears in journals such as ACM SIGMOD Record, Literacy, ACM Transactions on Database Systems, Communications of the ACM and Datamation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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